University of Toronto Institute for Aerospace Studies (UTIAS)

Dr. Hugues Thomas (UTIAS) and his collaborators created a new method for robot navigation based on self-supervised deep learning (Photo: Safa Jinje)

UTIAS researchers design socially aware robots to move safely around people

May 13, 2022

Collaboration between Professor Tim Barfoot (UTIAS) and Apple Machine Learning applies new approach for navigating spaces with moveable obstacles

Professor Emeritus Roderick Tennyson (UTIAS) and alumnae Pirathayini Srikantha (ECE PhD 1T7) and Jeanette Southwood (ChemE 8T6, MASc 8T8) were recognized for their contributions to the engineering profession and to society. (Photos: submitted)

Engineering Professor Emeritus and alumnae receive Ontario Professional Engineers Awards

May 2, 2022

Roderick Tennyson (UTIAS), Pirathayini Srikantha (ECE PhD 1T7) and Jeanette Southwood (ChemE 8T6, MASc 8T8) honoured with the Management Medal, Engineering Medal and Citizenship Award, respectively

Nightingale.ai, an AI-enabled platform that enables physiotherapists and their patients to connect remotely, is one of five winners of Hatchery Demo Day 2021. (Photo courtesy: Nightingale.ai)

Five startups to watch from U of T Engineering’s virtual Hatchery Demo Day 2021

September 24, 2021

Companies aim to bring technological improvements to urban planning, physiotherapy and many other fields

In the Rock Fracture Dynamics Facility (CivMin), rock samples are subjected to the stress, fluid pressure and temperature conditions they would experience in nature. The research is one of nine projects boosted by new funding from the Canada Foundation for Innovation. (Photo courtesy Sebastian Goodfellow)

Rock music: Listening for induced earthquakes among nine U of T Engineering projects funded through CFI

August 11, 2021

CFI’s John R. Evans Leaders Fund will support research into seismicity, water treatment, bioengineering and more

Professor Philippe Lavoie (UTIAS) is among five U of T Engineering researchers to receive funding in the latest round of the Ontario Research Fund – Research Excellence (ORF-RE) program. (Photo: Meredith Pullara)

Five U of T Engineering faculty receive Ontario Research Funding to advance transformative research

July 6, 2021

Projects include reducing aircraft noise emissions, developing all-weather autonomous vehicles

Zeus is Chevolet Bolt retrofitted to become a self-driving vehicle by a team of U of T Engineering students and researchers. Professor Steven Waslander (UTIAS) and his collaborators are leading a new project that will transform Toronto into a global hub for research and development related to autonomous driving in winter. (Photo: aUToronto)

WinTOR: New partnership will train self-driving cars to handle tough winter conditions

July 6, 2021

U of T Engineering joins with four leading companies to develop new technologies to make autonomous vehicles more resilient in the face of snow, ice and other challenges

A new study looks at how droplets expelled by a cough or sneeze can break up into smaller pieces when they collide with mask material. The research underscores the importance of multi-layer masks to prevent the spread of COVID-19. (Photo: CDC, via Unsplash)

Physics experiment shows potential value of triple-layer masking

March 5, 2021

An experimental study carried out by an international team of engineers and physicists has added more evidence for the value of triple-layer masking to prevent the spread of COVID-19 and similar diseases. “Any form of mask is better than no mask,” says Professor Swetaprovo Chaudhuri (UTIAS), one of the co-authors of a new paper published today in Science Advances. […]

PEY Co-op student Erin Richardson (Year 3 EngSci) is spending 16 months at Canadian space engineering firm MDA, where she is working on a new generation of autonomous robots for the forthcoming Lunar Gateway space station. (Photo: MDA)

‘My dream job’: How a PEY Co-op student is helping develop a new generation of autonomous space robots

March 4, 2021

At Canadian space engineering firm MDA, Erin Richardson (Year 3 EngSci) is designing robotic systems for NASA’s Lunar Gateway

An improved mathematical model developed by an international team combines the “physics of the cloud” with the “physics of the crowd” to predict the dominant modes of transmission for the SARS-COV-2 virus that causes COVID-19. (Image: photocreo, via Envato)

Improved COVID-19 model leverages flow physics of airborne respiratory droplet ‘clouds’

December 7, 2020

The “first-principles approach” is the result of a collaboration between researchers in Canada, the U.S. and India

University of Toronto Institute for Aerospace Studies (UTIAS) news